Abstract

Background: This cross-sectional study aimed to investigate whether a long-term engagement in different types of physical exercise may influence resting-state brain networks differentially. In particular, we studied if there were differences in resting-state functional connectivity measures when comparing older women who are long-term practitioners of tai chi chuan or walking. Method: We recruited 20 older women who regularly practiced tai chi chuan (TCC group), and 22 older women who walked regularly (walking group). Both the TCC group and the walking group underwent a resting-state functional magnetic resonance imaging (rs-fMRI) scan. The acquired rs-fMRI data of all participants were analyzed using independent component analysis. Age and years of education were added as co-variables. Results: There were significant differences in default network, sensory-motor network, and visual network of rs-fMRI between the TCC group and walking group (p < 0.05). Conclusions: The findings of the current study suggested that long-term practice of different types of physical exercises (TCC vs. walking) influenced brain functional networks and brain functional plasticity of elderly women differentially. Our findings encourage further research to investigate whether those differences in resting-state functional connectivity as a function of the type of physical exercise have implications for the prevention of neurological diseases.

Highlights

  • Cognitive impairment is one of the greatest health threats nowadays, leading to loss of ability to perform daily activities and poor quality of life among the older adults [1,2]

  • There is solid evidence in the literature that reveals that there are considerable changes in resting-state functional connectivity (e.g., in default mode network (DMN)) in neurological diseases such as Alzheimer’s disease [10,11,12,13,14,15,16]. These changes in the resting-state functional connectivity are important because they are linked to changes in cognitive performance [13,14,17,18]. Such changes in resting-state functional connectivity seem to be of high relevance with regard to tasks of daily living because in individuals suffering from mild cognitive impairments (MCI) it has been observed that changes in default mode network and sensory-motor network connectivity are associated with changes in life-space mobility [19]

  • Given the importance of resting-state connectivity as parameter of brain functioning [27], the aim of this study was to investigate the influence of long-term Tai chi chuan (TCC) training and walking training on resting-state functional connectivity measures, which may foster our understanding of the effects of long-term practice of different types of physical exercises on brain function and explain the beneficial effects of TCC on cognitive functions [24,28]

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Summary

Introduction

Cognitive impairment is one of the greatest health threats nowadays, leading to loss of ability to perform daily activities and poor quality of life among the older adults [1,2]. These changes in the resting-state functional connectivity are important because they are linked to changes in cognitive performance [13,14,17,18] Such changes in resting-state functional connectivity seem to be of high relevance with regard to tasks of daily living (e.g., mobility) because in individuals suffering from mild cognitive impairments (MCI) it has been observed that changes in default mode network and sensory-motor network connectivity are associated with changes in life-space mobility [19]. This cross-sectional study aimed to investigate whether a long-term engagement in different types of physical exercise may influence resting-state brain networks differentially. Results: There were significant differences in default network, sensory-motor network, and visual network of rs-fMRI between the TCC group and walking group (p < 0.05)

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